|PIs*:||Hare, Jon | Mannino, Antonio|
|Start Time:||2009-08-17 22:23:00|
|End Time:||2012-08-23 22:44:00|
|Data Types:||cast, pigment, scan|
|Parameters:||abs abs_ad abs_ad_sd abs_ap abs_ap_sd abs_blank abs_blank_sd ad ag agp allo alpha-beta-car ap aph bb bbp bp but-fuco cgp chl chl_a chl_b chl_c1c2 chl_c3 chlide_a diadino diato dic_l doc_l dp dv_chl_a dv_chl_b ed epar es fuco gyro hex-fuco hpl_id lu lut mpf n2_fix n_picocyano neo nh4 no2 no2_no3 npf npp oxygen perid phide_a phytin_a pn po4 poc ppc ppc_tcar ppc_tpg ppf pras pressure psc psc_tcar psp psp_tpg pvel s_ag s_ag_300nmmin_600nmmax sal sigmat spm spm_flag tacc tacc_tchla tcar tchl tchl_tcar tchla_tpg tdn tilt tot_chl_a tot_chl_b tot_chl_c tpg urea viola wt zea|
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DescriptionTitle: The Impacts of Climate Variability on Primary Productivity and Carbon Distributions in the Middle Atlantic Bight and Gulf of Maine (CliVEC)
Research Team:* Antonio Mannino (PI) - NASA GSFC* Michael Novak - NASA GSFC* Margaret Mulholland (co-PI) - Old Dominion University* Peter Bernhardt - Old Dominion University* CJ Staryk - Old Dominion University* Kimberly Hyde (co-PI) - NOAA NEFSC* Jon Hare (collaborator) - NOAA NEFSC* David Lary (co-I) - University of Texas at DallasObservations from the MODIS and SeaWiFS time series (1997-2012) and measurements from an extensive field campaign are employed to examine how inter-annual and decadal-scale climate variability affects primary productivity and organic carbon distributions along the continental margin of the U.S. northeast coast. Estimates of daily primary productivity (PP) will be computed using the Ocean Productivity from Absorption of Light (OPAL) model. OPAL vertically resolves phytoplankton absorption of photosynthetically active radiation (PAR) and relates the chlorophyll-specific absorption coefficient to sea-surface temperature (SST), where SST is a proxy for seasonal changes in the phytoplankton community. OPAL will be validated with new field measurements of PP including dissolved organic carbon production.Field measurements of particulate (POC) and dissolved organic carbon (DOC) and the absorption coefficients of phytoplankton (aph) and colored dissolved organic matter (aCDOM) will allow us to extend the validation range (temporally and spatially) for our coastal algorithms and reduce the uncertainties in satellite-derived estimates of OPAL PP, POC, DOC, aph and aCDOM. Furthermore, we will apply our extensive field data to derive region-independent ocean color algorithms for PP, POC, DOC aCDOM and aph using machine learning approaches. We will rigorously validate and compare band-ratio and multivariate machine learning algorithms. Algorithms validated from this study will be applied to satellite observations to produce a time series of satellite data productsThe U.S. Middle Atlantic Bight (MAB), George's Bank (GB) and Gulf of Maine (GoM) stand at the crossroads between major ocean circulation features - the Gulf Stream and Labrador slope-sea and shelf currents - and are influenced by highly variable river discharge, summer upwelling, warm core rings, and intense seasonal stratification. Our work will focus on the impacts of variable river discharge, SST and large-scale climate indices on primary production, and POC and DOC distributions. These processes are not unique to the MAB and GoM. Consequently, the results from this activity can be applied to understanding how inter-annual and long-term variability in climate patterns can impact the carbon cycle of continental margins throughout the globe.
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